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François Bouchet

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2010 – today

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2018
[j9]
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Jason M. Harley, Michelle Taub, Roger Azevedo, François Bouchet:
"Let's Set Up Some Subgoals": Understanding Human-Pedagogical Agent Collaborations and Their Implications for Learning and Prompt and Feedback Compliance. TLT 11(1): 54-66 (2018)
[c30]
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François Bouchet, Jason M. Harley, Roger Azevedo:
Evaluating Adaptive Pedagogical Agents' Prompting Strategies Effect on Students' Emotions. ITS 2018: 33-43
[c29]
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Fatima Harrak, François Bouchet, Vanda Luengo, Pierre Gillois:
PHS profiling students from their questions in a blended learning environment. LAK 2018: 102-110
2017
[c28]
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Baptiste Monterrat, Amel Yessad, François Bouchet, Élise Lavoué, Vanda Luengo:
MAGAM: A Multi-Aspect Generic Adaptation Model for Learning Environments. EC-TEL 2017: 139-152
[c27]
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Fatima Harrak, François Bouchet, Vanda Luengo:
Identifying relationships between students' questions type and their behavior. EDM 2017
[c26]
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François Bouchet, Hugues Labarthe, Rémi Bachelet, Kalina Yacef:
Who Wants to Chat on a MOOC? Lessons from a Peer Recommender System. EMOOCs 2017: 150-159
[c25]
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François Bouchet, Hugues Labarthe, Kalina Yacef, Rémi Bachelet:
Comparing Peer Recommendation Strategies in a MOOC. UMAP (Adjunct Publication) 2017: 129-134
2016
[j8]
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Jason M. Harley, Cassia K. Carter, Niki Papaionnou, François Bouchet, Ronald S. Landis, Roger Azevedo, Lana Karabachian:
Examining the predictive relationship between personality and emotion traits and students' agent-directed emotions: towards emotionally-adaptive agent-based learning environments. User Model. User-Adapt. Interact. 26(2-3): 177-219 (2016)
[c24]
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Hugues Labarthe, François Bouchet, Rémi Bachelet, Kalina Yacef:
Does a Peer Recommender Foster Students' Engagement in MOOCs? EDM 2016: 418-423
[c23]
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François Bouchet, Jason M. Harley, Roger Azevedo:
Can Adaptive Pedagogical Agents' Prompting Strategies Improve Students' Learning and Self-Regulation? ITS 2016: 368-374
2015
[j7]
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Jason M. Harley, François Bouchet, M. Sazzad Hussain, Roger Azevedo, Rafael A. Calvo:
A multi-componential analysis of emotions during complex learning with an intelligent multi-agent system. Computers in Human Behavior 48: 615-625 (2015)
[c22]
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Jason M. Harley, Cassia C. Carter, Niki Papaionnou, François Bouchet, Ronald S. Landis, Roger Azevedo, Lana Karabachian:
Examining the Predictive Relationship Between Personality and Emotion Traits and Learners' Agent-Direct Emotions. AIED 2015: 145-154
[c21]
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Nicholas Mudrick, Roger Azevedo, Michelle Taub, François Bouchet:
Does the Frequency of Pedagogical Agent Intervention Relate to Learners' Self-Reported Boredom while using Multiagent Intelligent Tutoring Systems? CogSci 2015
2014
[j6]
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Michelle Taub, Roger Azevedo, François Bouchet, Babak Khosravifar:
Can the use of cognitive and metacognitive self-regulated learning strategies be predicted by learners' levels of prior knowledge in hypermedia-learning environments? Computers in Human Behavior 39: 356-367 (2014)
2013
[j5]
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François Bouchet, Jean-Paul Sansonnet:
Agents conversationnels psychologiques. Modélisation des réactions rationnelles et comportementales des agents assistants conversationnels. Revue d'Intelligence Artificielle 27(6): 679-708 (2013)
[j4]
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François Bouchet, Jean-Paul Sansonnet:
Influence of FFM/NEO PI-R personality traits on the rational process of autonomous agents. Web Intelligence and Agent Systems 11(3): 203-220 (2013)
[c20]
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Jason M. Harley, François Bouchet, Roger Azevedo:
Aligning and Comparing Data on Emotions Experienced during Learning with MetaTutor. AIED 2013: 61-70
[c19]
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Daria Bondareva, Cristina Conati, Reza Feyzi-Behnagh, Jason M. Harley, Roger Azevedo, François Bouchet:
Inferring Learning from Gaze Data during Interaction with an Environment to Support Self-Regulated Learning. AIED 2013: 229-238
[c18]
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François Bouchet, Jason M. Harley, Roger Azevedo:
Impact of Different Pedagogical Agents' Adaptive Self-regulated Prompting Strategies on Learning with MetaTutor. AIED 2013: 815-819
[c17]
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Babak Khosravifar, François Bouchet, Reza Feyzi-Behnagh, Roger Azevedo, Jason M. Harley:
Using Intelligent Multi-Agent Systems to Model and Foster Self-Regulated Learning: A Theoretically-Based Approach Using Markov Decision Process. AINA 2013: 413-420
[c16]
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Jean-Paul Sansonnet, François Bouchet:
A Framework Covering the Influence of ffm/neo pi-r Traits over the Dialogical Process of Rational Agents. ICAART (Revised Selected Papers) 2013: 62-79
[c15]
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Jean-Paul Sansonnet, François Bouchet:
Managing Personality Influences in Dialogical Agents. ICAART (1) 2013: 89-98
[c14]
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Jean-Paul Sansonnet, François Bouchet, Nicolas Sabouret:
Moteurs de personnalité pour agents dialogiques : étude d'un modèle pour les traits interpersonnels. JFSMA 2013: 105-114
2012
[j3]
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François Bouchet, Jean-Paul Sansonnet:
Traits de personnalité computationnels. Enrichissement de la taxonomie FFM/NEO PI-R avec des gloses WordNet liées à des adjectifs de personnalité. Technique et Science Informatiques 31(4): 423-453 (2012)
[c13]
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François Bouchet, John S. Kinnebrew, Gautam Biswas, Roger Azevedo:
Identifying Students' Characteristic Learning Behaviors in an Intelligent Tutoring System Fostering Self-Regulated Learning. EDM 2012: 65-72
[c12]
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Jason M. Harley, François Bouchet, Roger Azevedo:
Measuring Learners' Co-Occurring Emotional Responses during Their Interaction with a Pedagogical Agent in MetaTutor. ITS 2012: 40-45
[c11]
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Roger Azevedo, Ronald S. Landis, Reza Feyzi-Behnagh, Melissa Duffy, Gregory Trevors, Jason M. Harley, François Bouchet, Jonathan D. Burlison, Michelle Taub, Nicole Pacampara, Mohammed Yeasin, A. K. M. Mahbubur Rahman, Md. Iftekhar Tanveer, Gahangir Hossain:
The Effectiveness of Pedagogical Agents' Prompting and Feedback in Facilitating Co-adapted Learning with MetaTutor. ITS 2012: 212-221
[c10]
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François Bouchet, Jean-Paul Sansonnet:
Une approche facilitant la couverture et l'intelligibilité des influences des traits de personnalité sur le raisonnement rationnel des agents. JFSMA 2012: 97-106
2011
[j2]
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François Bouchet, Jean-Paul Sansonnet:
Agents conversationnels psychologiques. Un cadre d'étude des comportements rationnels et psychologiques des agents assistants conversationnels. Revue d'Intelligence Artificielle 25(5): 591-623 (2011)
[c9]
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Jean-Paul Sansonnet, François Bouchet:
Integrating Psychological Behaviors in the Rational Process of Conversational Assistant Agents. FLAIRS Conference 2011
[c8]
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François Bouchet, Jean-Paul Sansonnet:
Influence of Personality Traits on the Rational Process of Cognitive Agents. IAT 2011: 81-88
[c7]
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Jason M. Harley, François Bouchet, Roger Azevedo:
Examining Learners' Emotional Responses to Virtual Pedagogical Agents' Tutoring Strategies. IVA 2011: 449-450
2010
[b1]
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François Bouchet:
Conception d'une chaîne de traitement de la langue naturelle pour un agent conversationnel assistant. (Design of a natural language processing chain for an assistant conversational agent). University of Paris-Sud, Orsay, France 2010
[j1]
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  - journals/tsi/XuetaoSB10
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M. Xuetao, Jean-Paul Sansonnet, François Bouchet:
Définition d'un agent conversationnel assistant d'applications internet à partir d'un corpus de requêtes. Technique et Science Informatiques 29(10): 1123-1154 (2010)
[c6]
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Jean-Paul Sansonnet, François Bouchet:
Joint handling of Rational and Behavioral reactions in Assistant Conversational Agents. ECAI 2010: 1049-1050
[c5]
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Jean-Paul Sansonnet, François Bouchet:
Expression of Behaviors in Assistant Agents as Influences on Rational Execution of Plans. IVA 2010: 413-419
[c4]
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François Bouchet, Jean-Paul Sansonnet:
Un cadre de modélisation des relations entre les réactions rationnelles et comportementales des agents assistants conversationnels. JFSMA 2010: 97-106
[c3]
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  - conf/sac/MilettoPSB10
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Evandro Manara Miletto, Marcelo Soares Pimenta, Jean-Paul Sansonnet, François Bouchet:
Social music making on the web with CODES. SAC 2010: 876-877

2000 – 2009

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2009
[c2]
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François Bouchet, Jean-Paul Sansonnet:
Subjectivity and Cognitive Biases Modeling for a Realistic and Efficient Assisting Conversational Agent. IAT 2009: 209-216
[c1]
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François Bouchet, Jean-Paul Sansonnet:
Tree Kernel and Feature Vector Methods for Formal Semantic Requests Classification. MLDM Posters 2009: 126-140

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